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Setup Matt Pocock Skills

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mattpocock
setup-matt-pocock-skills

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Overview

Publishermattpocock
Repositoryskills
Skill namesetup-matt-pocock-skills
Stars
264.4K
Forks
22.3K
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mattpocock on GitHub. Read the source before you install it.

Installation

Install the Setup Matt Pocock Skills AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mattpocock/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/engineering/setup-matt-pocock-skills .claude/skills/setup-matt-pocock-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Setup Matt Pocock Skills in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Setup Matt Pocock Skills on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Setup Matt Pocock Skills is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Setup Matt Pocock's Skills

Scaffold the per-repo configuration that the engineering skills assume:

  • Issue tracker: where issues live (GitHub by default; local markdown is also supported out of the box)
  • Triage labels: the strings used for the five canonical triage roles
  • Domain docs: where CONTEXT.md and ADRs live, and the consumer rules for reading them

This is a prompt-driven skill, not a deterministic script. Explore, present what you found, confirm with the user, then write.

Process

1. Explore

Look at the current repo to understand its starting state. Read whatever exists; don't assume:

  • git remote -v and .git/config: is this a GitHub repo? Which one?
  • AGENTS.md and CLAUDE.md at the repo root: does either exist? Is there already an ## Agent skills section in either?
  • CONTEXT.md and CONTEXT-MAP.md at the repo root
  • docs/adr/ and any src/*/docs/adr/ directories
  • docs/agents/: does this skill's prior output already exist?
  • .scratch/: a sign that a local-markdown issue tracker convention is already in use
  • Is the triage skill installed? (a triage skill folder alongside this one, or triage in your available skills.) This decides whether Section B runs at all.
  • Monorepo signals: a pnpm-workspace.yaml, a workspaces field in package.json, or a populated packages/* with its own src/. These are present only in a genuinely large multi-package repo; their absence means single-context, which is almost every repo.

2. Present findings and ask

Summarise what's present and what's missing. Then take the sections in order. One section, one answer, then the next.

Lead each section with the recommended answer so the user can accept it in a word. Give a one-line explainer only when the choice genuinely branches; skip the section entirely when exploration already settled it (Section B when triage isn't installed, Section C when there's no monorepo).

Section A: Issue tracker.

Explainer: The "issue tracker" is where issues live for this repo. Skills like to-tickets, triage, and to-spec read from and write to it. They need to know whether to call gh issue create, write a markdown file under .scratch/, or follow some other workflow you describe. Pick the place you actually track work for this repo.

Default posture: these skills were designed for GitHub. If a git remote points at GitHub, propose that. If a git remote points at GitLab (gitlab.com or a self-hosted host), propose GitLab. Otherwise (or if the user prefers), offer:

  • GitHub: issues live in the repo's GitHub Issues (uses the gh CLI)
  • GitLab: issues live in the repo's GitLab Issues (uses the glab CLI)
  • Local markdown: issues live as files under .scratch/<feature>/ in this repo (good for solo projects or repos without a remote)
  • Other (Jira, Linear, etc.): ask the user to describe the workflow in one paragraph; the skill will record it as freeform prose

Record the choice in docs/agents/issue-tracker.md. The GitHub and GitLab templates carry a "PRs as a request surface" flag, defaulted off. Leave it off and don't raise it: a user who wants external PRs in the triage queue can flip the flag in the file later.

Section B: Triage label vocabulary. Skip this section entirely if the triage skill isn't installed (exploration told you), since an uninstalled skill needs no labels.

If it is installed, ask exactly one question:

Do you want to keep the default triage labels? (recommended: yes)

The defaults are the five canonical roles, each label string equal to its name: needs-triage, needs-info, ready-for-agent, ready-for-human, wontfix. On yes, write them as-is. Only if the user says no, usually because their tracker already uses other names (e.g. bug:triage for needs-triage), collect the overrides so triage applies existing labels instead of creating duplicates.

Section C: Domain docs. Default to single-context (one CONTEXT.md + docs/adr/ at the repo root). This fits almost every repo; write it without asking.

Offer multi-context (a root CONTEXT-MAP.md pointing to per-context CONTEXT.md files) only when exploration found monorepo signals. Then confirm which layout they want.

3. Confirm and edit

Show the user a draft of:

  • The ## Agent skills block to add to whichever of CLAUDE.md / AGENTS.md is being edited (see step 4 for selection rules)
  • The contents of docs/agents/issue-tracker.md, docs/agents/domain.md, and docs/agents/triage-labels.md (the last only when triage is installed)

Let them edit before writing.

4. Write

Pick the file to edit:

  • If CLAUDE.md exists, edit it.
  • Else if AGENTS.md exists, edit it.
  • If neither exists, ask the user which one to create; don't pick for them.

Never create AGENTS.md when CLAUDE.md already exists (or vice versa); always edit the one that's already there.

If an ## Agent skills block already exists in the chosen file, update its contents in-place rather than appending a duplicate. Don't overwrite user edits to the surrounding sections.

The block:

markdown
## Agent skills

### Issue tracker

[one-line summary of where issues are tracked]. See `docs/agents/issue-tracker.md`.

### Triage labels

[one-line summary of the label vocabulary]. See `docs/agents/triage-labels.md`.

### Domain docs

[one-line summary of layout: "single-context" or "multi-context"]. See `docs/agents/domain.md`.

Include the ### Triage labels sub-block, and write docs/agents/triage-labels.md, only when triage is installed and Section B ran. When it isn't, both are omitted.

Then write the docs files using the seed templates in this skill folder as a starting point:

For "other" issue trackers, write docs/agents/issue-tracker.md from scratch using the user's description.

5. Done

Tell the user the setup is complete and which engineering skills will now read from these files. Mention they can edit docs/agents/*.md directly later; re-running this skill is only necessary if they want to switch issue trackers or restart from scratch.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Setup Matt Pocock Skills AI skill do?

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Why use Setup Matt Pocock Skills on TypingMind?

Because you install it once and use it with any model. Setup Matt Pocock Skills is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Setup Matt Pocock Skills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mattpocock/skills/tree/main/skills/engineering/setup-matt-pocock-skills. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Setup Matt Pocock Skills?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Setup Matt Pocock Skills?

As many as you like. As long as a model supports skills, you can use Setup Matt Pocock Skills with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Setup Matt Pocock Skills AI skill free?

Yes. It is published on GitHub by mattpocock under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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